Yunhe Yuan

Beijing Academy of Artificial Intelligence, Beijing University of Technology

Papers

Total Citations

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About

Yunhe Yuan is a leading researcher in bio-inspired robotics and cognitive navigation, whose work bridges neuroscience and artificial intelligence to create more intelligent autonomous systems. His primary research areas include bionic robot navigation, hippocampal cognitive mapping, and episodic memory-based spatial recognition. Yuan's most significant contribution is the development of a bionic robot navigation algorithm grounded in the cognitive mechanisms of the hippocampus—specifically, the firing patterns of space cells that form an intrinsic "cognitive map" of the environment. This work, published in 2019 and cited 55 times, offers a more physiologically plausible alternative to traditional SLAM algorithms by incorporating how mammals naturally encode spatial knowledge. He further advanced this field by introducing an improved cognitive map-building system that leverages episodic memory recognition, allowing robots to process visual information from the eye to the brain before map generation. Though newer, this 2020 paper underscores his commitment to refining bioinspired models. Yuan's research has significant implications for developing robots that navigate unfamiliar environments with mammalian-like efficiency, positioning him as a key innovator in neurorobotics and autonomous systems.